【摘要】 根据JPEG2000中的一般位移法和最大位移法在处理感兴趣区域时的优点,提出了基于SPIHT算法的感兴趣区域图像压缩编码的新方法,并且充分考虑了SPIHT算法和Turbo码的特性,根据信源编码后数据在重建时的重要程度,利用Turbo码进行了等差错和非等差错保护信道编码.仿真结果表明,在传输全视觉图像时,采用非等差错保护信道编码可以使感兴趣区域的峰值信噪比得到明显提高,并且使感兴趣区域的图像质量远高于背景区域的图像质量.更多还原

【Abstract】 In JPEG2000 standards, both the Generic-scaling-based method and the Maxshift method possess their own advantages in treating regions of interest. Hence, we proposed a newmethod based on SPIHTfor compressed coding of regions of interest. After taking full account of the characteristics of the SPIHTalgorithm and the Turbo codes, we used Turbo codes to make the channel coding with unequal and equal error protections according to the importance of coded data in reconstruction. A series of simulations were made. The results showed that the coding with unequal error protection can obviously improve PSNR of ROI, and image quality of ROI is better than that of background region in the process of transmitting full vision images.更多还原